3 citations · 8 across the 5 of their papers we have counts for
3 papers · 1 filter
Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning Approach
Mohamed Hassouna, Clara Holzhüter, Malte Lehna +4
The rising proportion of renewable energy in the electricity mix introduces significant operational challenges for power grid operators. Effective power grid management demands ada…
Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
Barbera de Mol, Davide Barbieri, Jan Viebahn +1
Power grid operation is becoming more complex due to the increase in generation of renewable energy. The recent series of Learning To Run a Power Network (L2RPN) competitions have…
Graph Neural Networks for Transmission Grid Topology Control: Busbar Information Asymmetry and Heterogeneous Representations
Matthijs de Jong, Jan Viebahn, Yuliya Shapovalova
Factors such as the proliferation of renewable energy and electrification contribute to grid congestion as a pressing problem. Topology control is an appealing method for relieving…